The aquaculture industry has been developed in Taiwan for more than 300 years, and Taiwan's aquaculture technology has earned the reputation of "Kingdom of Aquaculture". However, in recent years, due to the abnormal climate and environment, limited land and water resources, drug residues affecting the food safety of aquatic products, market competition, increased cost of aquaculture, and dysfunctions in production and marketing, the development of the traditional aquaculture industry has stagnated, and it is also facing Labor shortage and aging problems.
In response to the problems encountered by traditional aquaculture, we have developed intelligent farming technologies, and have successively developed various smart technologies such as "Mobile Fish Counting and Length Measurement System", "Automated Total Bacteria Detection System", "Fish Farm Disaster Overhead Image Processing Technology", "Aquaculture Intelligent Expert System", and "Anemone Fish Culture Environment Monitoring and Early Warning Technology", with the goal of conducting The goal is to cultivate and raise healthy and high-quality aquaculture species, to assist the traditional aquaculture industry to develop towards production automation and intelligent management technology, to improve production efficiency, to further achieve productivity enhancement, regulation and planned production effects, and to promote intelligent aquaculture technology to the public and become the mainstream of Taiwan's aquaculture fishery in the future.
The research team uses the Internet of Things, video technology, information and communication technology, and intelligent interconnection concepts to develop environmental control systems, water quality microclimate network sensing and control technology, and intelligent management technology, which can effectively reduce human resources to achieve labor-saving benefits and reduce the risk of aquaculture, and ensure the effective transmission of relevant intelligent aquaculture experience.
After the introduction of technology, the production capacity of fish farming species and stages can be increased by 150%~200%, labor can be saved by 50%, water can be saved by more than 30%, feed costs can be reduced by at least 15%, and the deterioration of water quality in large fish farms can be forewarned 3 days earlier.